
As the demand for cloud computing services surges globally, so does its carbon footprint, making energy sustainability a critical challenge in the digital era. This paper explores the emerging field of carbon-aware cloud computing, which integrates carbon-intelligent decision-making into cloud infrastructure operations. We present a comprehensive survey of methodologies that incorporate real-time carbon intensity data, geographic workload shifting, and renewable energy-aware scheduling. Additionally, we examine the practical applications and system architectures that enable cloud providers to minimize environmental impact while maintaining performance and cost efficiency. Our findings highlight current advancements, identify gaps in existing strategies, and propose future research directions to drive the development of greener cloud computing ecosystems.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
